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Wealthsimple

Manager, Data Science - Growth Product

Posted 5 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in Canada
Senior level
Remote
Hiring Remotely in Canada
Senior level
Lead a high-impact team of data scientists, designing experiments, building machine learning models, generating insights, and mentoring team members to enhance client experiences and drive product growth.
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Your career is an investment that grows over time!


Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money. Using smart technology, we take financial services that are often confusing, opaque and expensive and make them transparent and low-cost for everyone. We’re the largest fintech company in Canada, with over 4 million users who trust us with more than $50 billion in assets.


Our teams ship often and make an impact with groundbreaking ideas. We're looking for talented people who keep it simple and value collaboration and humility as we continue to create inclusive and high-performing teams where people can be inspired to do their best work.

What you'll do:

  • Lead a small but high-impact team of data scientists, collaborating with Product, Marketing, and Sales to understand our clients and develop data-driven systems that enhance their experience
  • Design and execute experiments to uncover client preferences and inform product strategy
  • Build and deploy machine learning models to predict client behaviour and integrate them into the product experience to drive engagement
  • Generate actionable insights using statistical techniques and analytical best practices to identify product opportunities
  • Develop proof-of-concepts (POCs) and work with stakeholders to secure buy-in for data-driven solutions
  • Mentor, coach, and guide data scientists, helping them grow and maximize their impact

What you bring:

  • Proven experience in designing complex experiments to establish causal relationships in client behaviour
  • Strong expertise in building scalable data machine learning architectures
  • Hands-on experience with product analytics and extracting insights from web and app data
  • Ability to leverage data-driven solutions (e.g., embedded ML models, optimized incentive systems) to drive product growth
  • A player-coach mentality - comfortable leading a team while actively contributing as an individual contributor on key projects
  • Excellent SQL and Python skills
  • Excellent communication skills, able to articulate their stance in a collaborative manner to drive agreement among technical and non-technical stakeholders
  • Proven ability to prioritize for impact and manage expectations with stakeholders

Why Wealthsimple?

πŸ€‘ Competitive salary with top-tier health benefits and life insurance

πŸ“ˆ Retirement savings matching plan using Wealthsimple Work

🌴 20 vacation days per year and unlimited sick and mental health days

πŸ“š Up to $1,500 per year towards wellness and professional development budgets respectively 

πŸ›« 90 days away program: Employees can work internationally in eligible countries for up to 90 days per calendar year 

🌎 A wide variety of peer and company-led Employee Resource Groups (ie. Rainbow, Women of Wealthsimple, Black @ WS)

πŸ’– Company-wide wellness days off scheduled throughout the year


We’re a remote-first team, with over 1,000 employees coast to coast in North America. Be a part of our Canadian success story and help shape the financial future of millions β€” join us!


Read our Culture Manual and learn more about how we work.


DEI Statement

At Wealthsimple, we are building products for a diverse world and we need a diverse team to do that successfully. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. 


Accessibility Statement

Wealthsimple provides an accessible candidate experience. If you need any accommodations or adjustments throughout the interview process and beyond, please let us know, and we will work with you to provide the necessary support and make reasonable accommodations to facilitate your participation. We are continuously working to improve our accessibility practices and welcome any feedback or suggestions on how we can better accommodate candidates with accessibility needs.

Top Skills

Machine Learning
Python
SQL
Statistical Techniques

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